Matches in SemOpenAlex for { <https://semopenalex.org/work/W1511295018> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W1511295018 abstract "Our ability to recognize the gender and estimate the age of people around us is crucial for our social development and interactions. In this paper, we investigate how to use Slow Feature Analysis (SFA) to estimate gender and age from synthetic face images. SFA is a versatile unsupervised learning algorithm that extracts slowly varying features from a multidimensional signal. To process very high-dimensional data, such as images, SFA can be applied hierarchically. The key idea here is to construct the training signal such that the parameters of interest, namely gender and age, vary slowly. This makes the labelling of the data implicit in the training signal and permits the use of the unsupervised algorithm in a hierarchical fashion. A simple supervised step at the very end is then sufficient to extract gender and age with high reliability. Gender was estimated with a very high accuracy, and age had an RMSE of 3.8 years for test images." @default.
- W1511295018 created "2016-06-24" @default.
- W1511295018 creator A5039663126 @default.
- W1511295018 creator A5044879710 @default.
- W1511295018 date "2010-01-01" @default.
- W1511295018 modified "2023-09-26" @default.
- W1511295018 title "Gender and Age Estimation from Synthetic Face Images" @default.
- W1511295018 cites W1511812886 @default.
- W1511295018 cites W2146444479 @default.
- W1511295018 cites W2148553367 @default.
- W1511295018 cites W2148856562 @default.
- W1511295018 doi "https://doi.org/10.1007/978-3-642-14049-5_25" @default.
- W1511295018 hasPublicationYear "2010" @default.
- W1511295018 type Work @default.
- W1511295018 sameAs 1511295018 @default.
- W1511295018 citedByCount "3" @default.
- W1511295018 countsByYear W15112950182013 @default.
- W1511295018 countsByYear W15112950182016 @default.
- W1511295018 crossrefType "book-chapter" @default.
- W1511295018 hasAuthorship W1511295018A5039663126 @default.
- W1511295018 hasAuthorship W1511295018A5044879710 @default.
- W1511295018 hasConcept C108583219 @default.
- W1511295018 hasConcept C119857082 @default.
- W1511295018 hasConcept C121332964 @default.
- W1511295018 hasConcept C138885662 @default.
- W1511295018 hasConcept C144024400 @default.
- W1511295018 hasConcept C153180895 @default.
- W1511295018 hasConcept C154945302 @default.
- W1511295018 hasConcept C162324750 @default.
- W1511295018 hasConcept C163258240 @default.
- W1511295018 hasConcept C187736073 @default.
- W1511295018 hasConcept C199360897 @default.
- W1511295018 hasConcept C2776401178 @default.
- W1511295018 hasConcept C2779304628 @default.
- W1511295018 hasConcept C2779843651 @default.
- W1511295018 hasConcept C2780801425 @default.
- W1511295018 hasConcept C36289849 @default.
- W1511295018 hasConcept C41008148 @default.
- W1511295018 hasConcept C41895202 @default.
- W1511295018 hasConcept C43214815 @default.
- W1511295018 hasConcept C62520636 @default.
- W1511295018 hasConcept C96250715 @default.
- W1511295018 hasConceptScore W1511295018C108583219 @default.
- W1511295018 hasConceptScore W1511295018C119857082 @default.
- W1511295018 hasConceptScore W1511295018C121332964 @default.
- W1511295018 hasConceptScore W1511295018C138885662 @default.
- W1511295018 hasConceptScore W1511295018C144024400 @default.
- W1511295018 hasConceptScore W1511295018C153180895 @default.
- W1511295018 hasConceptScore W1511295018C154945302 @default.
- W1511295018 hasConceptScore W1511295018C162324750 @default.
- W1511295018 hasConceptScore W1511295018C163258240 @default.
- W1511295018 hasConceptScore W1511295018C187736073 @default.
- W1511295018 hasConceptScore W1511295018C199360897 @default.
- W1511295018 hasConceptScore W1511295018C2776401178 @default.
- W1511295018 hasConceptScore W1511295018C2779304628 @default.
- W1511295018 hasConceptScore W1511295018C2779843651 @default.
- W1511295018 hasConceptScore W1511295018C2780801425 @default.
- W1511295018 hasConceptScore W1511295018C36289849 @default.
- W1511295018 hasConceptScore W1511295018C41008148 @default.
- W1511295018 hasConceptScore W1511295018C41895202 @default.
- W1511295018 hasConceptScore W1511295018C43214815 @default.
- W1511295018 hasConceptScore W1511295018C62520636 @default.
- W1511295018 hasConceptScore W1511295018C96250715 @default.
- W1511295018 hasLocation W15112950181 @default.
- W1511295018 hasOpenAccess W1511295018 @default.
- W1511295018 hasPrimaryLocation W15112950181 @default.
- W1511295018 hasRelatedWork W2108293733 @default.
- W1511295018 hasRelatedWork W2110642775 @default.
- W1511295018 hasRelatedWork W2125615169 @default.
- W1511295018 hasRelatedWork W2133963973 @default.
- W1511295018 hasRelatedWork W2135357268 @default.
- W1511295018 hasRelatedWork W2144928300 @default.
- W1511295018 hasRelatedWork W2146444479 @default.
- W1511295018 hasRelatedWork W2148856562 @default.
- W1511295018 hasRelatedWork W2168453695 @default.
- W1511295018 hasRelatedWork W2342540026 @default.
- W1511295018 hasRelatedWork W2414236216 @default.
- W1511295018 hasRelatedWork W2732482952 @default.
- W1511295018 hasRelatedWork W2736171144 @default.
- W1511295018 hasRelatedWork W2892070971 @default.
- W1511295018 hasRelatedWork W2902116834 @default.
- W1511295018 hasRelatedWork W2936621626 @default.
- W1511295018 hasRelatedWork W2968468089 @default.
- W1511295018 hasRelatedWork W3009531800 @default.
- W1511295018 hasRelatedWork W3014808259 @default.
- W1511295018 hasRelatedWork W2340139171 @default.
- W1511295018 isParatext "false" @default.
- W1511295018 isRetracted "false" @default.
- W1511295018 magId "1511295018" @default.
- W1511295018 workType "book-chapter" @default.